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» Extended Object Tracking Using Monte Carlo Methods
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IJCAI
2007
14 years 11 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
ICASSP
2011
IEEE
14 years 1 months ago
Sequential Monte Carlo Radio-Frequency tomographic tracking
Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequ...
Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
85
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ICMCS
2005
IEEE
194views Multimedia» more  ICMCS 2005»
15 years 3 months ago
An hardware architecture for 3D object tracking and motion estimation
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Mont...
Patrick Lanvin, Jean-Charles Noyer, Mohammed Benje...
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
ICPR
2006
IEEE
15 years 10 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...